DR-515 Integrative prediction of outcome in metastatic cancers

We are developing multimodal models based on gene expression data and mutational profiles for predicting outcomes in metastatic cancer. From gene expression we derive representation of specific cell states and ecosystems in tumor that may be associated with treatment response. We integrate this with mutational information which can also be informative about therapy responses. Our aim is to be able to predict which metastatic patients will/will not respond to therapy.

Andrew Gentles, Stanford University, United States